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Big Data Engineer - MapReduce
Intermediate
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What is the purpose of a combiner in a MapReduce job?
a.
A combiner is used to join multiple data sets before the output is passed to the reducer.
b.
A combiner is used to filter out unwanted data before it is processed by the mapper.
c.
A combiner is used to modify the input data so that it can be properly processed by the mapper.
d.
A combiner is used to sort the keys and values output by the mapper before they are passed to the reducer.
e.
A combiner is used to reduce the amount of data that needs to be transferred between the map and reduce phases by performing a mini-reduce on the output of the mapper.
f.
A combiner is used to split the data into equal-sized chunks before it is processed by the mapper.
Intermediate